Risk Classification of Bladder Cancer by Gene Expression and Molecular Subtype

SIMPLE SUMMARY: Our study used NanoString technology, a high-throughput platform measuring gene expression at the mRNA level to identify a set of genes predictive of clinical outcomes in bladder cancer patients. Twenty-seven differentially expressed genes were correlated with clinicopathological var...

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Detalles Bibliográficos
Autores principales: Blanca, Ana, Lopez-Beltran, Antonio, Lopez-Porcheron, Kevin, Gomez-Gomez, Enrique, Cimadamore, Alessia, Bilé-Silva, Andreia, Gogna, Rajan, Montironi, Rodolfo, Cheng, Liang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10093178/
https://www.ncbi.nlm.nih.gov/pubmed/37046810
http://dx.doi.org/10.3390/cancers15072149

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10093178/
https://www.ncbi.nlm.nih.gov/pubmed/37046810
http://dx.doi.org/10.3390/cancers15072149

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